Project description:In this study, we performed transcriptomic analysis in ectopic lesions and eutopic endometrial tissues from both fertile and subfertile mice with endometriosis. We identified the positive correlation of the gene signatures between the mouse and human in ectopic lesions. Conserved gene networks were activated in all the ectopic lesions including estradiol, immune, fibrosis, and angiogenesis pathways. The interactions mediated through hormone, cytokine, and growth factor as well as their corresponding receptors were predicted between the ectopic and eutopic endometrium. EGF and WNT signaling were more suppressed in the eutopic endometrium from subfertile mice. Our results revealed that our mouse endometriosis model recapitulates the important transcriptomic changes of endometriosis progression in human ectopic lesions including the essential regulator network and intensive inter-communications between ectopic and eutopic endometrium. Our preclinical animal model for endometriosis will be invaluable to understand etiology and pathophysiology on endometriosis.
Project description:The hypothesis that male michrochimerism in eutopic endometrium is a factor for endometriosis, as indicated by indirect evidence was examined in endometrial samples from control (Group 1) and stage IV ovarian endometriosis (Group 2), either fertile (Group 1A and 2A) or Infertile (Group 1B and 2B) pateints. 6 coding and 10 non-coding genes showed bi-modal pattern of expression characterised by low expression in samples obtained from fertile patients and high expressions in infertile patients. Several coding and non-coding MSY-linked genes displayed michrochimerism in form of presence of their respective DNA inserts along with their microarray-detectable expression in endometrium irrespective of fertility history and disease.
Project description:This SuperSeries is composed of the following subset Series:; GSE11691: Euctopic and ectopic human endometrium (endometriosis); GSE11768: Nude mouse model of endometriosis Experiment Overall Design: Refer to individual Series
Project description:Endometriosis is defined as the presence of endometrial tissue (eutopic tissue) outside the uterus (ectopic tissue). We assessed differentially expressed microRNAs in ectopic endometrium compared with eutopic endometrium.
Project description:We performed RNA-seq on RNA samples of organoids derived from healthy, eutopic (endometrium of patients with endometriosis) and ectopic (endometriosis) endometrium
Project description:Endometriosis is defined as the presence of endometrial tissue (eutopic tissue) outside the uterus (ectopic tissue). We assessed differentially expressed microRNAs in ectopic endometrium compared with eutopic endometrium. Comparison of paired eutopic/ectopic endometrium microRNAs from three patients.
Project description:Transcriptome profiles were investigated in isolated endometrial stromal cells (ESCs) from eutopic and ectopic endometrium. The profiles were quite different between eutopic ESC and ectopic ESC, whereas no clear dfference was recognized between eutopic ESC with and without endometriosis. Total RNA from three cultured endometrial stromal cells (ESCs) from eutopic endometria without endometriosis, three ESCs with endometriosis and three ESCs from chocolate cysts were hybridised to the Affymetrix Human Gene 1.0 ST Array.
Project description:Adenomyosis, defined as ectopic endometrial tissue within the myometrium, can often be misdiagnosed as multiple uterine leiomyomata or endometrial thickening. We therefore performed a combined mRNA and long noncoding (lnc)RNA microarray and bioinformatic analysis of eutopic and ectopic endometrium in women with adenomyosis to better understand its pathogenesis and help in the development of a semi-invasive diagnostic test. A total of 586 mRNAs were increased and 305 mRNAs decreased in ectopic endometrium of adenomyosis compared with eutopic endometrium, while 388 lncRNA transcripts were up-regulated and 188 down-regulated in ectopic compared with paired eutopic endometrial tissue. Bioinformatic analysis suggested a series of metabolic and molecular abnormalities in adenomyosis, which have many similarities with endometriosis. Furthermore, our study constitutes the first known report of lncRNA expression patterns in human adenomyosis ectopic and eutopic endometrial tissue. Two-condition experiment, ectopic endometrium vs. eutopic endometrium. 3 samples,self-control
